{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo Scripts for the wfdb-python package\n",
    "\n",
    "Run this notebook from the base directory of the git repository to access the included demo files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Documentation Site\n",
    "\n",
    "http://wfdb.readthedocs.io/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import display\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import os\n",
    "import shutil\n",
    "\n",
    "import wfdb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading Records and Annotations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'adc_gain': [7247.0, 10520.0, 12530.0],\n",
       " 'adc_res': [16, 16, 16],\n",
       " 'adc_zero': [0, 0, 0],\n",
       " 'base_counter': None,\n",
       " 'base_date': None,\n",
       " 'base_time': None,\n",
       " 'baseline': [0, 0, 0],\n",
       " 'block_size': [0, 0, 0],\n",
       " 'byte_offset': [24, 24, 24],\n",
       " 'checksum': [-27403, -301, -17391],\n",
       " 'comments': ['Asystole', 'False alarm'],\n",
       " 'counter_freq': None,\n",
       " 'd_signal': None,\n",
       " 'e_d_signal': None,\n",
       " 'e_p_signal': None,\n",
       " 'file_name': ['a103l.mat', 'a103l.mat', 'a103l.mat'],\n",
       " 'fmt': ['16', '16', '16'],\n",
       " 'fs': 250,\n",
       " 'init_value': [-171, 9127, 6042],\n",
       " 'n_sig': 3,\n",
       " 'p_signal': array([[-0.02359597,  0.86758555,  0.48220271],\n",
       "        [-0.03698082,  0.98298479,  0.5443735 ],\n",
       "        [-0.06292259,  0.85979087,  0.47821229],\n",
       "        ...,\n",
       "        [-0.04084449,  0.7493346 ,  0.5150838 ],\n",
       "        [-0.04719194,  0.7581749 ,  0.50957702],\n",
       "        [-0.04677798,  0.7615019 ,  0.5028731 ]]),\n",
       " 'record_name': 'a103l',\n",
       " 'samps_per_frame': [1, 1, 1],\n",
       " 'sig_len': 82500,\n",
       " 'sig_name': ['II', 'V', 'PLETH'],\n",
       " 'skew': [None, None, None],\n",
       " 'units': ['mV', 'mV', 'NU']}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 1 - Read a wfdb record using the 'rdrecord' function into a wfdb.Record object.\n",
    "# Plot the signals, and show the data.\n",
    "record = wfdb.rdrecord('sample-data/a103l') \n",
    "wfdb.plot_wfdb(record=record, title='Record a103l from Physionet Challenge 2015') \n",
    "display(record.__dict__)\n",
    "\n",
    "\n",
    "# Can also read the same files hosted on Physiobank https://physionet.org/physiobank/database/\n",
    "# in the challenge/2015/training/ database subdirectory. Full url = https://physionet.org/physiobank/database/challenge/2015/training/\n",
    "record2 = wfdb.rdrecord('a103l', pb_dir='challenge/2015/training/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.0335, -0.167 , -0.237 ,  0.1165],\n",
       "       [ 0.0355, -0.1615, -0.2395,  0.119 ],\n",
       "       [ 0.0385, -0.168 , -0.2465,  0.116 ],\n",
       "       ...,\n",
       "       [-0.0445,  0.008 ,  0.033 ,  0.045 ],\n",
       "       [-0.044 ,  0.0175,  0.042 ,  0.052 ],\n",
       "       [-0.044 ,  0.0245,  0.0365,  0.05  ]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'comments': ['age: 81',\n",
       "  'sex: female',\n",
       "  'ECG date: 01/10/1990',\n",
       "  'Diagnose:',\n",
       "  'Reason for admission: Myocardial infarction',\n",
       "  'Acute infarction (localization): infero-latera',\n",
       "  'Former infarction (localization): no',\n",
       "  'Additional diagnoses: Diabetes mellitus',\n",
       "  'Smoker: no',\n",
       "  'Number of coronary vessels involved: 1',\n",
       "  'Infarction date (acute): 29-Sep-90',\n",
       "  'Previous infarction (1) date: n/a',\n",
       "  'Previous infarction (2) date: n/a',\n",
       "  'Hemodynamics:',\n",
       "  'Catheterization date: 16-Oct-90',\n",
       "  'Ventriculography: Akinesia inferior wall',\n",
       "  'Chest X-ray: Heart size upper limit of norm',\n",
       "  'Peripheral blood Pressure (syst/diast):  140/80 mmHg',\n",
       "  'Pulmonary artery pressure (at rest) (syst/diast): n/a',\n",
       "  'Pulmonary artery pressure (at rest) (mean): n/a',\n",
       "  'Pulmonary capillary wedge pressure (at rest): n/a',\n",
       "  'Cardiac output (at rest): n/a',\n",
       "  'Cardiac index (at rest): n/a',\n",
       "  'Stroke volume index (at rest): n/a',\n",
       "  'Pulmonary artery pressure (laod) (syst/diast): n/a',\n",
       "  'Pulmonary artery pressure (laod) (mean): n/a',\n",
       "  'Pulmonary capillary wedge pressure (load): n/a',\n",
       "  'Cardiac output (load): n/a',\n",
       "  'Cardiac index (load): n/a',\n",
       "  'Stroke volume index (load): n/a',\n",
       "  'Aorta (at rest) (syst/diast): 160/64 cmH2O',\n",
       "  'Aorta (at rest) mean: 106 cmH2O',\n",
       "  'Left ventricular enddiastolic pressure: 11 cmH2O',\n",
       "  'Left coronary artery stenoses (RIVA): RIVA 70% proximal to ramus diagonalis_2',\n",
       "  'Left coronary artery stenoses (RCX): No stenoses',\n",
       "  'Right coronary artery stenoses (RCA): No stenoses',\n",
       "  'Echocardiography: n/a',\n",
       "  'Therapy:',\n",
       "  'Infarction date: 29-Sep-90',\n",
       "  'Catheterization date: 16-Oct-90',\n",
       "  'Admission date: 29-Sep-90',\n",
       "  'Medication pre admission: Isosorbit-Dinitrate Digoxin Glibenclamide',\n",
       "  'Start lysis therapy (hh.mm): 19:45',\n",
       "  'Lytic agent: Gamma-TPA',\n",
       "  'Dosage (lytic agent): 30 mg',\n",
       "  'Additional medication: Heparin Isosorbit-Mononitrate ASA Diazepam',\n",
       "  'In hospital medication: ASA Isosorbit-Mononitrate Ca-antagonist Amiloride+Chlorothiazide Glibenclamide Insulin',\n",
       "  'Medication after discharge: ASA Isosorbit-Mononitrate Amiloride+Chlorothiazide Glibenclamide'],\n",
       " 'fs': 1000,\n",
       " 'n_sig': 4,\n",
       " 'sig_len': 14900,\n",
       " 'sig_name': ['vz', 'i', 'avf', 'v5'],\n",
       " 'units': ['mV', 'mV', 'mV', 'mV']}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 2 - Read certain channels and sections of the WFDB record using the simplified 'rdsamp' function\n",
    "# which returns a numpy array and a dictionary. Show the data.\n",
    "signals, fields = wfdb.rdsamp('sample-data/s0010_re', channels=[14, 0, 5, 10], sampfrom=100, sampto=15000)\n",
    "display(signals)\n",
    "display(fields)\n",
    "\n",
    "# Can also read the same files hosted on Physiobank \n",
    "signals2, fields2 = wfdb.rdsamp('s0010_re', channels=[14, 0, 5, 10], sampfrom=100, sampto=15000, pb_dir='ptbdb/patient001/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'adc_gain': [1000.0, 1000.0, 1.0001, 100.0, 500.0],\n",
       " 'adc_res': [16, 16, 16, 16, 16],\n",
       " 'adc_zero': [0, 0, 0, 0, 0],\n",
       " 'base_counter': None,\n",
       " 'base_date': None,\n",
       " 'base_time': None,\n",
       " 'baseline': [0, 0, 0, 0, 0],\n",
       " 'block_size': [0, 0, 0, 0, 0],\n",
       " 'byte_offset': [None, None, None, None, None],\n",
       " 'checksum': [14736, 13501, -19070, -9226, -14191],\n",
       " 'comments': [],\n",
       " 'counter_freq': None,\n",
       " 'd_signal': None,\n",
       " 'e_d_signal': None,\n",
       " 'e_p_signal': None,\n",
       " 'file_name': ['drive02.dat',\n",
       "  'drive02.dat',\n",
       "  'drive02.dat',\n",
       "  'drive02.dat',\n",
       "  'drive02.dat'],\n",
       " 'fmt': ['16', '16', '16', '16', '16'],\n",
       " 'fs': 15.5,\n",
       " 'init_value': [-1236, 1802, 75, 0, 5804],\n",
       " 'n_sig': 5,\n",
       " 'p_signal': None,\n",
       " 'record_name': 'drive02',\n",
       " 'samps_per_frame': [32, 2, 1, 1, 2],\n",
       " 'sig_len': 78056,\n",
       " 'sig_name': ['ECG', 'foot GSR', 'HR', 'marker', 'RESP'],\n",
       " 'skew': [None, None, None, None, None],\n",
       " 'units': ['mV', 'mV', 'bpm', 'mV', 'mV']}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 3 - Read a WFDB header file only (without the signals)\n",
    "record = wfdb.rdheader('sample-data/drive02')\n",
    "display(record.__dict__)\n",
    "\n",
    "# Can also read the same file hosted on Physiobank\n",
    "record2 = wfdb.rdheader('drive02', pb_dir='drivedb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 4 - Read part of a WFDB annotation file into a wfdb.Annotation object, and plot the samples\n",
    "annotation = wfdb.rdann('sample-data/100', 'atr', sampfrom=100000, sampto=110000)\n",
    "annotation.fs = 360\n",
    "wfdb.plot_wfdb(annotation=annotation, time_units='minutes')\n",
    "\n",
    "# Can also read the same file hosted on PhysioBank \n",
    "annotation2 = wfdb.rdann('100', 'atr', sampfrom=100000, sampto=110000, pb_dir='mitdb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 5 - Read a WFDB record and annotation. Plot all channels, and the annotation on top of channel 0.\n",
    "record = wfdb.rdrecord('sample-data/100', sampto = 15000)\n",
    "annotation = wfdb.rdann('sample-data/100', 'atr', sampto = 15000)\n",
    "\n",
    "wfdb.plot_wfdb(record=record, annotation=annotation,\n",
    "               title='Record 100 from MIT-BIH Arrhythmia Database',\n",
    "               time_units='seconds')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multisegment waveform examples\n",
    "\n",
    "The following sections load and plots waveforms from the MIMIC matched waveform database. These waveforms have been matched to clinical data in the MIMIC Clinical database. The input records are multi-segment (made up of multiple individual WFDB records) and relatively long.\n",
    "\n",
    "Note that these kinds of records contain segments in which certain channels are missing. <strong>matplotlib</strong> automatically zooms in on sections without Nans in individual channels but the entire durations of the signals input into <strong>plotrec</strong> are actually plotted. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'adc_gain': [200.0, 200.0, 0.25],\n",
       " 'adc_res': None,\n",
       " 'adc_zero': None,\n",
       " 'base_counter': None,\n",
       " 'base_date': '04/05/2704',\n",
       " 'base_time': '10:44:18.529',\n",
       " 'baseline': [0, 0, -100],\n",
       " 'block_size': None,\n",
       " 'byte_offset': None,\n",
       " 'checksum': None,\n",
       " 'comments': ['<age>: ?? <sex>: ?'],\n",
       " 'counter_freq': None,\n",
       " 'd_signal': None,\n",
       " 'e_d_signal': None,\n",
       " 'e_p_signal': None,\n",
       " 'file_name': None,\n",
       " 'fmt': ['86', '86', '1'],\n",
       " 'fs': 125,\n",
       " 'init_value': None,\n",
       " 'layout': 'variable',\n",
       " 'n_sig': 3,\n",
       " 'p_signal': array([[         nan,          nan,          nan],\n",
       "        [         nan,          nan,          nan],\n",
       "        [         nan,          nan,          nan],\n",
       "        ...,\n",
       "        [ -0.02469136,   0.        , -17.6       ],\n",
       "        [  0.04938272,   0.03333333, -17.6       ],\n",
       "        [  0.02469136,   0.        , -17.6       ]]),\n",
       " 'record_name': 's25047-2704-05-04-10-44',\n",
       " 'samps_per_frame': None,\n",
       " 'sig_len': 543240,\n",
       " 'sig_name': ['II', 'V', 'ABP'],\n",
       " 'sig_segments': None,\n",
       " 'skew': None,\n",
       " 'units': ['mV', 'mV', 'mmHg']}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 6 - Read the multi-segment record and plot waveforms from the MIMIC matched waveform database. \n",
    "record = wfdb.rdrecord('sample-data/multi-segment/s25047/s25047-2704-05-04-10-44')\n",
    "wfdb.plot_wfdb(record=record, title='Record s25047-2704-05-04-10-44') \n",
    "display(record.__dict__)\n",
    "\n",
    "# Can also read the same files hosted on PhysioBank (takes long to stream the many large files)\n",
    "#record2 = wfdb.rdsamp('s25047-2704-05-04-10-44', pbdir = 'mimic2wdb/matched/s25047')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'adc_gain': [200.0, 200.0, 200.0, 200.0],\n",
       " 'adc_res': None,\n",
       " 'adc_zero': None,\n",
       " 'base_counter': None,\n",
       " 'base_date': '10/10/2896',\n",
       " 'base_time': '00:31:25.894',\n",
       " 'baseline': [0, 0, 0, 0],\n",
       " 'block_size': None,\n",
       " 'byte_offset': None,\n",
       " 'checksum': None,\n",
       " 'comments': ['<age>: 60 <sex>: F'],\n",
       " 'counter_freq': None,\n",
       " 'd_signal': None,\n",
       " 'e_d_signal': None,\n",
       " 'e_p_signal': None,\n",
       " 'file_name': None,\n",
       " 'fmt': ['83', '55', '122', '1'],\n",
       " 'fs': 125,\n",
       " 'init_value': None,\n",
       " 'layout': 'variable',\n",
       " 'n_sig': 4,\n",
       " 'p_signal': array([[       nan, 0.        , 0.04918033,        nan],\n",
       "        [       nan, 0.        , 0.03278689,        nan],\n",
       "        [       nan, 0.        , 0.00819672,        nan],\n",
       "        ...,\n",
       "        [       nan, 0.        , 0.03278689,        nan],\n",
       "        [       nan, 0.        , 0.03278689,        nan],\n",
       "        [       nan, 0.        , 0.04918033,        nan]]),\n",
       " 'record_name': 's00001-2896-10-10-00-31',\n",
       " 'samps_per_frame': None,\n",
       " 'sig_len': 1000000,\n",
       " 'sig_name': ['II', 'V', 'MCL1', 'ABP'],\n",
       " 'sig_segments': None,\n",
       " 'skew': None,\n",
       " 'units': ['mV', 'mV', 'mV', 'mmHg']}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 7 - Read the multi-segment record and plot waveforms from the MIMIC matched waveform database.\n",
    "# Notice that some channels have no valid values to plot\n",
    "record = wfdb.rdrecord('sample-data/multi-segment/s00001/s00001-2896-10-10-00-31',\n",
    "                       sampfrom=3000000, sampto=4000000)\n",
    "wfdb.plot_wfdb(record, title='Record s00001/s00001-2896-10-10-00-31') \n",
    "display(record.__dict__)\n",
    "\n",
    "# Can also read the same files hosted on PhysioBank\n",
    "record2 = wfdb.rdrecord('s00001-2896-10-10-00-31', sampfrom=3000000, sampto=4000000,\n",
    "                        pb_dir = 'mimic2wdb/matched/s00001')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multiple sample/frame examples\n",
    "\n",
    "Although there can only be one base sampling frequency per record, a single wfdb record can store multiple channels with different sampling frequencies, as long as their sampling frequencies can all be expressed by an integer multiple of a base value. This is done by using the `samps_per_frame` attribute in each channel, which indicates the number of samples of each channel present in each frame.\n",
    "\n",
    "ie: To capture three signals with sampling frequencies of 120, 240, and 360 Hz, in a single record, they can be combined into a record with `fs=120` and `samps_per_frame = [1, 2, 3]`.\n",
    "\n",
    "#### Reading Options\n",
    "\n",
    "This package allows signals in records with multiple samples/frame to be read in two ways:\n",
    "1. smoothed - An uniform mxn numpy is returned as the d_signal or p_signal field. Channels with multiple samples/frame have their values averaged within each frame. This is like the behaviour of the `rdsamp` function of the original WFDB c package. Note that `wfdb.plot_record` only works if the record object has the `p_signals` field.\n",
    "2. expanded - A list of 1d numpy arrays is returned as the e_d_signal or e_p_signal field. All samples for each channel are returned in its respective numpy array. The arrays may have different lengths depending on their `samps_per_frame` values.\n",
    "\n",
    "Set the `smooth_frames` *(default=True)* option in `rdrecord` to return the desired signal type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 8 - Read a wfdb record in which one channel has multiple samples/frame. Return a smoothed uniform array.\n",
    "record = wfdb.rdrecord('sample-data/test01_00s_frame')\n",
    "wfdb.plot_wfdb(record)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import display\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import os\n",
    "import shutil\n",
    "\n",
    "import wfdb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([ 0.1 ,  0.11,  0.13, ..., -0.27, -0.27, -0.26]),\n",
       " array([-0.08, -0.57, -0.06, ...,  0.13, -0.18,  0.12]),\n",
       " array([-0.66, -0.66, -0.67, ...,  0.15,  0.15,  0.16])]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4000, 8000, 4000]\n"
     ]
    }
   ],
   "source": [
    "# Demo 9 - Read a wfdb record in which one channel has multiple samples/frame. Return a list of all the expanded samples.\n",
    "record = wfdb.rdrecord('sample-data/test01_00s_frame', smooth_frames=False)\n",
    "\n",
    "display(record.e_p_signal)\n",
    "# Show that different channels have different lengths. Channel 1 has 2 samples/frame, hence has 2x as many samples.\n",
    "print([len(s) for s in record.e_p_signal])\n",
    "\n",
    "# wfdb.plotrec doesn't work because the Record object is missing its p_signals field."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Writing Records and Annotations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Demo 10 - Read a WFDB record's digital samples and create a copy via the wrsamp() instance method \n",
    "# of the Record object.\n",
    "\n",
    "# Read a record as a Record object.\n",
    "record = wfdb.rdrecord('sample-data/100', physical=False)\n",
    "record.record_name = '100x'\n",
    "\n",
    "# Call the instance method of the object\n",
    "record.wrsamp()\n",
    "\n",
    "# The new file can be read\n",
    "record_x = wfdb.rdrecord('100x')\n",
    "\n",
    "# Cleanup: delete the created files\n",
    "# os.remove('100x.hea')\n",
    "# os.remove('100.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Demo 11 - Write a WFDB record without using a Record object via the gateway wrsamp function.\n",
    "# This is the basic way to write physical signals to a WFDB file. \n",
    "\n",
    "# Read part of a record from Physiobank\n",
    "sig, fields = wfdb.rdsamp('a103l', sampfrom=50000, channels=[0,1], pb_dir='challenge/2015/training')\n",
    "\n",
    "# Call the gateway wrsamp function, manually inserting fields as function input parameters\n",
    "wfdb.wrsamp('ecg-record', fs=250, units=['mV', 'mV'], sig_name=['I', 'II'], p_signal=sig, fmt=['16', '16'])\n",
    "\n",
    "# The new file can be read\n",
    "record = wfdb.rdrecord('ecg-record')\n",
    "\n",
    "# Cleanup: delete the created files\n",
    "# os.remove('ecg-record.hea')\n",
    "# os.remove('ecg-record.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wfdb.plot_wfdb(record)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import display\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import os\n",
    "import shutil\n",
    "\n",
    "\n",
    "import wfdb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Demo 12 - Write a WFDB record with multiple samples/frame in a channel\n",
    "\n",
    "# Read a record as a Record object.\n",
    "record = wfdb.rdrecord('sample-data/test01_00s_frame', physical=False, smooth_frames=False)\n",
    "record.record_name = 'test01_00s_framex'\n",
    "\n",
    "# Call the instance method of the object with expanded=True to write the record using the e_d_signal field\n",
    "record.wrsamp(expanded=True)\n",
    "\n",
    "# The new file can be read\n",
    "recordx = wfdb.rdrecord('test01_00s_framex')\n",
    "\n",
    "# Cleanup: deleted the created files\n",
    "# os.remove('test01_00s_framex.hea')\n",
    "# os.remove('test01_00s.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Demo 13 - Read a WFDB annotation file and create a copy via the wrann() instance method\n",
    "# of the Annotation object\n",
    "\n",
    "# Read an annotation from Physiobank\n",
    "annotation = wfdb.rdann('sample-data/100', 'atr')\n",
    "annotation.extension = 'cpy'\n",
    "\n",
    "# Call the instance method of the object\n",
    "annotation.wrann()\n",
    "\n",
    "# The new file can be read\n",
    "annotation_copy = wfdb.rdann('100', 'cpy')\n",
    "\n",
    "# Cleanup: deleted the created files\n",
    "# os.remove('100.cpy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Demo 14 - Write a WFDB annotation file without using an Annotator\n",
    "# object via the gateway wrann function.\n",
    "\n",
    "# Read an annotation as an Annotation object\n",
    "annotation = wfdb.rdann('b001', 'atr', pb_dir='cebsdb')\n",
    "\n",
    "# Call the gateway wrann function, manually inserting fields as function input parameters\n",
    "wfdb.wrann('b001', 'cpy', annotation.sample, annotation.symbol)\n",
    "\n",
    "# The new file can be read\n",
    "annotation_copy = wfdb.rdann('b001', 'cpy')\n",
    "\n",
    "# Cleanup: deleted the created files\n",
    "# os.remove('b001.cpy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    label_store symbol                                    description\n",
      "0             0                              Not an actual annotation\n",
      "1             1      N                                    Normal beat\n",
      "2             2      L                  Left bundle branch block beat\n",
      "3             3      R                 Right bundle branch block beat\n",
      "4             4      a                Aberrated atrial premature beat\n",
      "5             5      V              Premature ventricular contraction\n",
      "6             6      F          Fusion of ventricular and normal beat\n",
      "7             7      J              Nodal (junctional) premature beat\n",
      "8             8      A                   Atrial premature contraction\n",
      "9             9      S     Premature or ectopic supraventricular beat\n",
      "10           10      E                        Ventricular escape beat\n",
      "11           11      j                 Nodal (junctional) escape beat\n",
      "12           12      /                                     Paced beat\n",
      "13           13      Q                            Unclassifiable beat\n",
      "14           14      ~                          Signal quality change\n",
      "16           16      |                     Isolated QRS-like artifact\n",
      "18           18      s                                      ST change\n",
      "19           19      T                                  T-wave change\n",
      "20           20      *                                        Systole\n",
      "21           21      D                                       Diastole\n",
      "22           22      \"                             Comment annotation\n",
      "23           23      =                         Measurement annotation\n",
      "24           24      p                                    P-wave peak\n",
      "25           25      B              Left or right bundle branch block\n",
      "26           26      ^                      Non-conducted pacer spike\n",
      "27           27      t                                    T-wave peak\n",
      "28           28      +                                  Rhythm change\n",
      "29           29      u                                    U-wave peak\n",
      "30           30      ?                                       Learning\n",
      "31           31      !                       Ventricular flutter wave\n",
      "32           32      [      Start of ventricular flutter/fibrillation\n",
      "33           33      ]        End of ventricular flutter/fibrillation\n",
      "34           34      e                             Atrial escape beat\n",
      "35           35      n                   Supraventricular escape beat\n",
      "36           36      @  Link to external data (aux_note contains URL)\n",
      "37           37      x             Non-conducted P-wave (blocked APB)\n",
      "38           38      f                Fusion of paced and normal beat\n",
      "39           39      (                                 Waveform onset\n",
      "40           40      )                                   Waveform end\n",
      "41           41      r       R-on-T premature ventricular contraction\n"
     ]
    }
   ],
   "source": [
    "# Demo 15 - View the standard WFDB annotation labels\n",
    "wfdb.show_ann_labels()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading Content from Physiobank\n",
    "\n",
    "- The downloads are made via http\n",
    "- See the above demos for examples on streaming WFDB files stored in Physiobank without downloading them to local disk\n",
    "- Physionet has rsync modules for downloading entire databases for users who have access to rsync.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['adfecgdb', 'Abdominal and Direct Fetal ECG Database'],\n",
       " ['aftdb', 'AF Termination Challenge Database'],\n",
       " ['ahadb', 'AHA Database [sample excluded record]'],\n",
       " ['aami-ec13', 'ANSI/AAMI EC13 Test Waveforms'],\n",
       " ['apnea-ecg', 'Apnea-ECG Database'],\n",
       " ['chfdb', 'BIDMC Congestive Heart Failure Database'],\n",
       " ['bpssrat', 'Blood Pressure in Salt-Sensitive Dahl Rats'],\n",
       " ['capslpdb', 'CAP Sleep Database'],\n",
       " ['crisdb', 'CAST RR Interval Sub-Study Database'],\n",
       " ['challenge/2009/test-set-a', 'Challenge 2009 Test Set A'],\n",
       " ['challenge/2009/test-set-b', 'Challenge 2009 Test Set B'],\n",
       " ['challenge/2010/set-a', 'Challenge 2010 Training Set A'],\n",
       " ['challenge/2010/set-b', 'Challenge 2010 Test Set B'],\n",
       " ['challenge/2010/set-c', 'Challenge 2010 Test Set C'],\n",
       " ['challenge/2011/set-a', 'Challenge 2011 Training Set A'],\n",
       " ['challenge/2011/set-b', 'Challenge 2011 Test Set B'],\n",
       " ['challenge/2011/sim', 'Challenge 2011 Pilot Set'],\n",
       " ['challenge/2013/set-a', 'Challenge 2013 Training Set A'],\n",
       " ['challenge/2013/set-b', 'Challenge 2013 Test Set B'],\n",
       " ['challenge/2014/set-p', 'Challenge 2014 Training Set'],\n",
       " ['challenge/2014/set-p2', 'Challenge 2014 Extended Training Set'],\n",
       " ['challenge/2015/training', 'Challenge 2015 Training Set'],\n",
       " ['challenge/2016/training-a', 'Challenge 2016 Training Set A'],\n",
       " ['challenge/2016/training-b', 'Challenge 2016 Training Set B'],\n",
       " ['challenge/2016/training-c', 'Challenge 2016 Training Set C'],\n",
       " ['challenge/2016/training-d', 'Challenge 2016 Training Set D'],\n",
       " ['challenge/2016/training-e', 'Challenge 2016 Training Set E'],\n",
       " ['challenge/2016/training-f', 'Challenge 2016 Training Set F'],\n",
       " ['challenge/2017/training', 'Challenge 2017 Training Set'],\n",
       " ['challenge/2018/training', 'Challenge 2018 Training Set'],\n",
       " ['challenge/2018/test', 'Challenge 2018 Test Set'],\n",
       " ['charisdb', 'CHARIS database'],\n",
       " ['chbmit', 'CHB-MIT Scalp EEG Database'],\n",
       " ['cebsdb', 'Combined measurement of ECG, Breathing and Seismocardiograms'],\n",
       " ['chf2db', 'Congestive Heart Failure RR Interval Database'],\n",
       " ['ctu-uhb-ctgdb', 'CTU-CHB Intrapartum Cardiotocography Database'],\n",
       " ['cudb', 'CU Ventricular Tachyarrhythmia Database'],\n",
       " ['ecgdmmld',\n",
       "  'ECG Effects of Dofetilide, Moxifloxacin, Dofetilide+Mexiletine, Dofetilide+Lidocaine and Moxifloxacin+Diltiazem'],\n",
       " ['ecgrdvq',\n",
       "  'ECG Effects of Ranolazine, Dofetilide, Verapamil, and Quinidine'],\n",
       " ['ecgiddb', 'ECG-ID Database'],\n",
       " ['eegmmidb', 'EEG Motor Movement/Imagery Dataset'],\n",
       " ['ltrsvp', 'EEG Signals from an RSVP Task'],\n",
       " ['erpbci', 'ERP-based Brain-Computer Interface recordings'],\n",
       " ['edb', 'European ST-T Database'],\n",
       " ['earh', 'Evoked Auditory Responses in Heading Impaired'],\n",
       " ['earndb', 'Evoked Auditory Responses in Normals'],\n",
       " ['emgdb', 'Examples of Electromyograms'],\n",
       " ['fantasia', 'Fantasia Database'],\n",
       " ['fecgsyndb', 'Fetal ECG Synthetic Database'],\n",
       " ['fpcgdb', 'Fetal PCG Database'],\n",
       " ['gait-maturation-db/data', 'Gait Maturation Database'],\n",
       " ['gaitdb', 'Gait in Aging and Disease Database'],\n",
       " ['gaitndd', 'Gait in Neurodegenerative Disease Database'],\n",
       " ['meditation/data', 'Heart Rate Oscillations during Meditation'],\n",
       " ['hbedb', 'Human Balance Evaluation Database'],\n",
       " ['ehgdb', 'Icelandic 16-electrode Electrohysterogram Database'],\n",
       " ['iafdb', 'Intracardiac Atrial Fibrillation Database'],\n",
       " ['ltafdb', 'Long Term AF Database'],\n",
       " ['ltstdb', 'Long Term ST Database'],\n",
       " ['mssvepdb', 'MAMEM SSVEP Database'],\n",
       " ['mghdb', 'MGH/MF Waveform Database'],\n",
       " ['mimic2cdb', 'MIMIC II Clinical Database Public Subset'],\n",
       " ['mimic2wdb/30', 'MIMIC II/III Waveform Database, part 0'],\n",
       " ['mimic2wdb/31', 'MIMIC II/III Waveform Database, part 1'],\n",
       " ['mimic2wdb/32', 'MIMIC II/III Waveform Database, part 2'],\n",
       " ['mimic2wdb/33', 'MIMIC II/III Waveform Database, part 3'],\n",
       " ['mimic2wdb/34', 'MIMIC II/III Waveform Database, part 4'],\n",
       " ['mimic2wdb/35', 'MIMIC II/III Waveform Database, part 5'],\n",
       " ['mimic2wdb/36', 'MIMIC II/III Waveform Database, part 6'],\n",
       " ['mimic2wdb/37', 'MIMIC II/III Waveform Database, part 7'],\n",
       " ['mimic2wdb/38', 'MIMIC II/III Waveform Database, part 8'],\n",
       " ['mimic2wdb/39', 'MIMIC II/III Waveform Database, part 9'],\n",
       " ['mimic2wdb/matched', 'MIMIC II Waveform Database Matched Subset'],\n",
       " ['mimic3wdb/matched', 'MIMIC III Waveform Database Matched Subset'],\n",
       " ['mimicdb', 'MIMIC Database'],\n",
       " ['mimicdb/numerics', 'MIMIC Database Numerics'],\n",
       " ['mitdb', 'MIT-BIH Arrhythmia Database'],\n",
       " ['pwave', 'MIT-BIH Arrhythmia Database P-Wave Annotations'],\n",
       " ['afdb', 'MIT-BIH Atrial Fibrillation Database'],\n",
       " ['cdb', 'MIT-BIH ECG Compression Test Database'],\n",
       " ['ltdb', 'MIT-BIH Long-Term ECG Database'],\n",
       " ['vfdb', 'MIT-BIH Malignant Ventricular Ectopy Database'],\n",
       " ['nstdb', 'MIT-BIH Noise Stress Test Database'],\n",
       " ['nsrdb', 'MIT-BIH Normal Sinus Rhythm Database'],\n",
       " ['excluded', '... [Recordings excluded from the NSR DB]'],\n",
       " ['slpdb', 'MIT-BIH Polysomnographic Database'],\n",
       " ['stdb', 'MIT-BIH ST Change Database'],\n",
       " ['svdb', 'MIT-BIH Supraventricular Arrhythmia Database'],\n",
       " ['mmgdb', 'MMG Database'],\n",
       " ['macecgdb', 'Motion Artifact Contaminated ECG Database'],\n",
       " ['motion-artifact', 'Motion Artifact Contaminated fNIRS and EEG Data'],\n",
       " ['noneeg', 'Non-EEG Dataset for Assessment of Neurological Status'],\n",
       " ['nifecgdb', 'Non-Invasive Fetal ECG Database'],\n",
       " ['nsr2db', 'Normal Sinus Rhythm RR Interval Database'],\n",
       " ['ob1db', 'OB-1 Fetal ECG Database [sample record]'],\n",
       " ['afpdb', 'PAF Prediction Challenge Database'],\n",
       " ['osv', 'Pattern Analysis of Oxygen Saturation Variability'],\n",
       " ['prcp', 'Physiologic Response to Changes in Posture'],\n",
       " ['szdb', 'Post-Ictal Heart Rate Oscillations in Partial Epilepsy'],\n",
       " ['picsdb', 'Preterm Infant Cardio-Respiratory Signals Database'],\n",
       " ['ptbdb', 'PTB Diagnostic ECG Database'],\n",
       " ['qtdb', 'QT Database'],\n",
       " ['sufhsdb', 'Shiraz University Fetal Heart Sounds Database'],\n",
       " ['simfpcgdb', 'Simulated Fetal Phonocardiograms'],\n",
       " ['shhpsgdb', 'Sleep Heart Health Study PSG Database [sample record]'],\n",
       " ['sleepbrl', 'Sleep Bioradiolocation Database'],\n",
       " ['sleep-edfx', 'Sleep-EDF Database [Expanded]'],\n",
       " ['sleep-edfxx', 'New Sleep-EDF'],\n",
       " ['shareedb',\n",
       "  'Smart Health for Assessing the Risk of Events via ECG Database'],\n",
       " ['mvtdb/data', 'Spontaneous Ventricular Tachyarrhythmia Database'],\n",
       " ['sgamp', 'Squid Giant Axon Membrane Potential'],\n",
       " ['incartdb', 'St Petersburg INCART 12-lead Arrhythmia Database'],\n",
       " ['staffiii', 'STAFF III Database'],\n",
       " ['drivedb', 'Stress Recognition in Automobile Drivers'],\n",
       " ['sddb', 'Sudden Cardiac Death Holter Database'],\n",
       " ['twadb', 'T-Wave Alternans Challenge Database'],\n",
       " ['taichidb', 'Tai Chi, Physiological Complexity, and Healthy Aging - Gait'],\n",
       " ['tpehgdb', 'Term-Preterm EHG Database'],\n",
       " ['ucddb', 'UCD Sleep Apnea Database'],\n",
       " ['unicaprop', 'UniCA ElectroTastegram Database (PROP)'],\n",
       " ['videopulse', 'Video Pulse Signals in Stationary and Motion Conditions'],\n",
       " ['wrist', 'Wrist PPG During Exercise'],\n",
       " ['mimic2db', 'MIMIC II Waveform DB, v2 [deprecated, use v3]'],\n",
       " ['mimic2db/numerics',\n",
       "  'MIMIC II Waveform DB, v2 Numerics [deprecated, use v3]'],\n",
       " ['sleep-edf', 'Sleep-EDF Database, v1 [deprecated, use sleep-edfx]'],\n",
       " ['voiced', 'VOice ICar fEDerico II Database']]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 16 - List the Physiobank Databases\n",
    "\n",
    "dbs = wfdb.get_dbs()\n",
    "display(dbs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Created local base download directory:  /home/cx1111/Projects/wfdb-python/tmp_dl_dir\n",
      "Downloading files...\n",
      "Finished downloading files\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['0201.dat', '0201.hea', '0001.hea', '0201.atr', '0001.dat', '0001.atr']"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 17 - Download all the WFDB records and annotations from a small Physiobank Database\n",
    "\n",
    "# Make a temporary download directory in your current working directory\n",
    "cwd = os.getcwd()\n",
    "dl_dir = os.path.join(cwd, 'tmp_dl_dir')\n",
    "\n",
    "# Download all the WFDB content\n",
    "wfdb.dl_database('ahadb', dl_dir=dl_dir)\n",
    "\n",
    "# Display the downloaded content in the folder\n",
    "display(os.listdir(dl_dir))\n",
    "\n",
    "# Cleanup: delete the downloaded directory\n",
    "# shutil.rmtree(dl_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading files...\n",
      "Finished downloading files\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['STAFF-Studies-bibliography-2016.pdf',\n",
       " '0201.dat',\n",
       " '0201.hea',\n",
       " '0001.hea',\n",
       " '0201.atr',\n",
       " '0001.dat',\n",
       " 'data',\n",
       " '0001.atr']"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "['001b.hea', '001a.dat', '001b.dat', '001a.hea']"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 18 - Download specified files from a Physiobank database\n",
    "\n",
    "# The files to download\n",
    "file_list = ['STAFF-Studies-bibliography-2016.pdf', 'data/001a.hea', 'data/001a.dat', 'data/001b.hea', 'data/001b.dat']\n",
    "\n",
    "# Make a temporary download directory in your current working directory\n",
    "cwd = os.getcwd()\n",
    "dl_dir = os.path.join(cwd, 'tmp_dl_dir')\n",
    "\n",
    "# Download the listed files\n",
    "wfdb.dl_files('staffiii', dl_dir, file_list)\n",
    "\n",
    "# Display the downloaded content in the folder\n",
    "display(os.listdir(dl_dir))\n",
    "display(os.listdir(os.path.join(dl_dir, 'data')))\n",
    "\n",
    "# Cleanup: delete the downloaded directory\n",
    "# shutil.rmtree(dl_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## ECG Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import wfdb\n",
    "from wfdb import processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Corrected gqrs detected peak indices: [370, 663, 947, 1231, 1515, 1809, 2045, 2403, 2706, 2998, 3283, 3560, 3863, 4171, 4466, 4765, 5061, 5347, 5634, 5919, 6215, 6527, 6824, 7106, 7393, 7670, 7953, 8246, 8539, 8837, 9142, 9432, 9710]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 19 - Use the gqrs detection algorithm and correct the peaks\n",
    "\n",
    "def peaks_hr(sig, peak_inds, fs, title, figsize=(20, 10), saveto=None):\n",
    "    \"Plot a signal with its peaks and heart rate\"\n",
    "    # Calculate heart rate\n",
    "    hrs = processing.compute_hr(sig_len=sig.shape[0], qrs_inds=peak_inds, fs=fs)\n",
    "    \n",
    "    N = sig.shape[0]\n",
    "    \n",
    "    fig, ax_left = plt.subplots(figsize=figsize)\n",
    "    ax_right = ax_left.twinx()\n",
    "    \n",
    "    ax_left.plot(sig, color='#3979f0', label='Signal')\n",
    "    ax_left.plot(peak_inds, sig[peak_inds], 'rx', marker='x', color='#8b0000', label='Peak', markersize=12)\n",
    "    ax_right.plot(np.arange(N), hrs, label='Heart rate', color='m', linewidth=2)\n",
    "\n",
    "    ax_left.set_title(title)\n",
    "\n",
    "    ax_left.set_xlabel('Time (ms)')\n",
    "    ax_left.set_ylabel('ECG (mV)', color='#3979f0')\n",
    "    ax_right.set_ylabel('Heart rate (bpm)', color='m')\n",
    "    # Make the y-axis label, ticks and tick labels match the line color.\n",
    "    ax_left.tick_params('y', colors='#3979f0')\n",
    "    ax_right.tick_params('y', colors='m')\n",
    "    if saveto is not None:\n",
    "        plt.savefig(saveto, dpi=600)\n",
    "    plt.show()\n",
    "\n",
    "# Load the wfdb record and the physical samples\n",
    "record = wfdb.rdrecord('sample-data/100', sampfrom=0, sampto=10000, channels=[0])\n",
    "\n",
    "# Use the gqrs algorithm to detect qrs locations in the first channel\n",
    "qrs_inds = processing.gqrs_detect(sig=record.p_signal[:,0], fs=record.fs)\n",
    "\n",
    "# Plot results\n",
    "peaks_hr(sig=record.p_signal, peak_inds=qrs_inds, fs=record.fs,\n",
    "        title=\"GQRS peak detection on record 100\")\n",
    "    \n",
    "# Correct the peaks shifting them to local maxima\n",
    "min_bpm = 20\n",
    "max_bpm = 230\n",
    "#min_gap = record.fs * 60 / min_bpm\n",
    "# Use the maximum possible bpm as the search radius\n",
    "search_radius = int(record.fs * 60 / max_bpm)\n",
    "corrected_peak_inds = processing.correct_peaks(record.p_signal[:,0], peak_inds=qrs_inds,\n",
    "                                               search_radius=search_radius, smooth_window_size=150)\n",
    "\n",
    "# Display results\n",
    "print('Corrected gqrs detected peak indices:', sorted(corrected_peak_inds))\n",
    "peaks_hr(sig=record.p_signal, peak_inds=sorted(corrected_peak_inds), fs=record.fs,\n",
    "         title=\"Corrected GQRS peak detection on sampledata/100\")\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Learning initial signal parameters...\n",
      "Found 8 beats during learning. Initializing using learned parameters\n",
      "Running QRS detection...\n",
      "QRS detection complete.\n",
      "51 reference annotations, 51 test annotations\n",
      "\n",
      "True Positives (matched samples): 51\n",
      "False Positives (unmatched test samples: 0\n",
      "False Negatives (unmatched reference samples): 0\n",
      "\n",
      "Sensitivity: 1.0000 (51/51)\n",
      "Positive Predictivity: 1.0000 (51/51)\n",
      "False Positive Rate: 0.0000 (0/51)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/site-packages/matplotlib/figure.py:445: UserWarning: Matplotlib is currently using module://ipykernel.pylab.backend_inline, which is a non-GUI backend, so cannot show the figure.\n",
      "  % get_backend())\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Demo 20 - Use the xqrs detection algorithm and compare results to reference annotations\n",
    "import wfdb\n",
    "from wfdb import processing\n",
    "sig, fields = wfdb.rdsamp('sample-data/100', channels=[0], sampto=15000)\n",
    "ann_ref = wfdb.rdann('sample-data/100','atr', sampto=15000)\n",
    "\n",
    "# Run qrs detection on signal\n",
    "xqrs = processing.XQRS(sig=sig[:,0], fs=fields['fs'])\n",
    "xqrs.detect()\n",
    "# Alternatively, use the gateway function to get the qrs indices directly\n",
    "# qrs_inds = processing.xqrs_detect(sig=sig[:,0], fs=fields['fs'])\n",
    "\n",
    "# Compare detected qrs complexes to reference annotation.\n",
    "# Note, first sample in 100.atr is not a qrs.\n",
    "comparitor = processing.compare_annotations(ref_sample=ann_ref.sample[1:],\n",
    "                                            test_sample=xqrs.qrs_inds,\n",
    "                                            window_width=int(0.1 * fields['fs']),\n",
    "                                            signal=sig[:,0])\n",
    "\n",
    "# Print and plot the results\n",
    "comparitor.print_summary()\n",
    "comparitor.plot(title='xqrs detected qrs vs reference annotations')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cleanup for all demos\n",
    "for file in ['100x.hea', '100.dat',  # demo 10\n",
    "             'ecg-record.hea', 'ecg-record.dat',  # demo 11 \n",
    "             'test01_00s_framex.hea', 'test01_00s.dat',  # demo 12\n",
    "             '100.cpy',  # demo 13\n",
    "             'b001.cpy',  # demo 14\n",
    "            ]:\n",
    "    if os.path.isfile(file):\n",
    "        os.remove(file)\n",
    "\n",
    "dl_dir = os.path.join(cwd, 'tmp_dl_dir')  # demo 17, 18\n",
    "if os.path.isdir(dl_dir):\n",
    "    shutil.rmtree(dl_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import wfdb\n",
    "record_no_skew = wfdb.rdrecord('sample-data/test01_00s_skewframe',\n",
    "                                     physical=False,\n",
    "                                     smooth_frames=False, ignore_skew=True)\n",
    "record_no_skew.wrsamp(expanded=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "int_types = (int, np.int64, np.int32, np.int16, np.int8)\n",
    "\n",
    "int_types[0]('10')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
